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Analysis of mRNA expression profiles in reactivated neurons from latent PRV infection

ABSTRACT: Little is known about the latent infection period and lytic infection mechanism of pseudorabies virus. The advent of high-throughput sequencing technologies has allowed us to examine many different biological components simultaneously. To examine the effects of glucocorticoids on latently infected PRV neurons, we constructed gene expression profiles of RNA-seq data from PC-12 cell with a PRV latent infection model group (PRV group), a reactivation model group (DEX group) and a blank control group (CON group).

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE202139 | GEO | 2025/05/02

REPOSITORIES: GEO

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Project description:Purpose: Next Generation sequencing (NGS) has revolutionized system-based cellular pathway analysis. The aim of this study was to infect differentially expressed genes for the BV2 phenotype with cur-transformed PRV and to predict possible molecular mechanisms involved in phenotypic transformation.Methods: The BV2 cells in the three treatment groups were sequenced by Illumina sequencing platform, and three repeated mRNA maps of BV2 cells were obtained. The cells were divided into control group: normal BV2 cells were cultured for 48 hours; PRV infection group: BV2 cells were infected with 1.66×106TCID50 PRV for 48h; CUR treatment group: BV2 cells were infected with 1.66×106TCID50 PRV for 24h and then treated with 20μM CUR for 24h.Results:The number of differentially expressed genes in PRV group and CON group was 306, including 242 biologically significant up-regulated genes and 64 biologically significant down-regulated genes. The number of differentially expressed genes in PRV+CUR group and PRV group was 5073, among which 2661 were biologically significant up-regulated genes and 2412 were biologically significant down-regulated genes. Compared with CON group, 1785 differentially expressed genes were found in PRV+CUR group, including 788 biologically significant up-regulated genes and 997 biologically significant down-regulated genes.Conclusions: Bioinformatics analysis of transcriptome characteristics and differentially expressed genes of BV2 in different phenotypes after PRV infection and CUR treatment showed that glycolysis, oxidative phosphorylation, Alzheimer's disease and fatty acid synthesis pathway may be involved in the process of BV2 activation into M1 type. Glycolysis, gluconeogenesis, insulin signaling pathway, NF-κB pathway, AMPK pathway, oxidative phosphorylation and fatty acid synthesis may be involved in the phenotypic transformation of PRV-infected BV2 with CUR. Among them, AMPK may influence phenotypic transformation by controlling the transformation of energy metabolism.

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Analysis of mRNA expression profiles in reactivated neurons from latent PRV infection

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